A fast method for approximating time-varying infectious disease transmission rates from disease incidence time series and other data, based on a discrete time approximation of an SEIR model, as analyzed in Jagan et al. (2020) <doi:10.1371/journal.pcbi.1008124>.
Version: | 0.3.1 |
Depends: | R (≥ 4.3) |
Imports: | grDevices, graphics, stats |
Suggests: | adaptivetau, deSolve, tools, utils |
Published: | 2024-11-22 |
DOI: | 10.32614/CRAN.package.fastbeta |
Author: | Mikael Jagan [aut, cre] |
Maintainer: | Mikael Jagan <jaganmn at mcmaster.ca> |
BugReports: | https://github.com/davidearn/fastbeta/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/davidearn/fastbeta |
NeedsCompilation: | yes |
Materials: | NEWS |
CRAN checks: | fastbeta results |
Reference manual: | fastbeta.pdf |
Package source: | fastbeta_0.3.1.tar.gz |
Windows binaries: | r-devel: fastbeta_0.3.1.zip, r-release: fastbeta_0.3.0.zip, r-oldrel: fastbeta_0.3.0.zip |
macOS binaries: | r-release (arm64): fastbeta_0.3.1.tgz, r-oldrel (arm64): fastbeta_0.3.1.tgz, r-release (x86_64): fastbeta_0.3.1.tgz, r-oldrel (x86_64): fastbeta_0.3.1.tgz |
Old sources: | fastbeta archive |
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